{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from LSsurf import smooth_xytb_fit\n",
    "import pointCollection as pc\n",
    "import sparseqr\n",
    "import glob\n",
    "import h5py\n",
    "import os\n",
    "import LSsurf\n",
    "%matplotlib widget"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "#data_top='/home/besmith4/shared/ATL11_processing/Arctic_003_cycle_03_07/U07'\n",
    "data_top='/Data/ATL11'\n",
    "all_files =   glob.glob(data_top+'/ATL11*07.h5') \n",
    "sorted_files = sorted(all_files, key = os.path.getsize, reverse=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/Data/ATL11/ATL11_097803_0307_003_07.h5\n"
     ]
    }
   ],
   "source": [
    "len(all_files)\n",
    "file=sorted_files[0]\n",
    "print(file)\n",
    "#D11=pc.ATL11.data().from_h5(file)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<class 'pointCollection.ATL11.data.data'> with shape (36488, 5),\n",
       "with fields:\n",
       "['latitude', 'longitude', 'h_corr', 'h_corr_sigma', 'h_corr_sigma_systematic', 'delta_time', 'quality_summary', 'ref_pt', 'dem_h', 'x_atc', 'fit_quality', 'cycle_number']"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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VXQ+cFLQchYCEhATv4zlBRl/vGuiGP0ttbLDpwAK3/yxwlfOGGw/sdSa6hcBkEenmnA8muzTDSB+q9Q3yImaGM/KSbFgKLtM9oITdcBF5C3hcRGYAnwKxMC3PAecB64BDwNcAVHWXiPwEeMuV+7Gq7sqw7EahEPsnRqN1TW4iZoYzspdYJ11CeMEmco+MKqBk3XBV3QlMTJCuwKwkbT0IPJhuGQ0DAFU+98Z3eONzd3sTU1XNDGdkljT9vkISJlcVkL3aGQXH818cnjD95FWrvSgI2WCbMAoGCcwLLvgXLFNARsFR1eGC+q7X0ergBDIKkzQ9/8Ph4BVJczEFZBQcm/pP8HZiSiga4Qv/uCF5BXNEMLIYCQcf0aC5mAIyCg6VuD+shDjpg9WJC/siIxhGNhLK4bFK+1cZhUc0mtqxjQUZrUCzf2U5rHhimAIyCo4Oh7d6O07B1Bw7zBHByCVCzY2EkAVOCLlrPDSMZtK2ah+H6Fczz6dt1b7GK7lxoCDWCqpZMA9s0bw8QhLsNYtYVI8mkg2vWNYDMgqOkooV3o7r5dQcJyPAcaCaBfNELECqkXdYD8goOPqWvw5ARclYSipW1BzXIRoNfEJqndVaLUBq3qEtDkbqfYaa2QOyeUCGERD9yl9n7Duz6ZdI+ZAl40Dxy0XEMLdww0dzx4CyAesBGQXJusEXUFEyhpKKlXzm42dTqxTgOFBNT8wXny6RLHXGixJhY0hGFmEKyCg4Php8ARsHeg/h2OfIxiq1cmDSOua3GH5zYGw8aOaiGqWSsE48cXWM4GmpN1pzV0TNBi+43O27GUYzePeE4VSUjPEO3MO85jieIOcDJTO/xdISKSL/eFGyzV/HzHiBEvSCcOYFZxityLsnDCcMlFSs9BJqvOBWJiyfFeNAUFeG+JVb/UrF/xlf37/QXqyMKaFgCbwDErgApoBSZfY1LzJ75qL6WwH+gTdu3MiECRMYPnw4I0eO5O677wbg9ttvp1+/fowZM4YxY8bw3HPP1dQRkVtEZJ2IrBGRc3zpU1zaOhG5OVMyx5QPwKa+Z9TJO9CxX+oNBeUAoAqRSO1+IqWSTPn49+NXfDUllLvkQSQEGwNqhD9c+SiV7Xsmt60XoE29qKiIu+66i5NPPpn9+/czbtw4Jk2aBMANN9zAd7/73fgq7YBpeEMtfYFFIjLM5c0GJuEtu/6WiDyrqu+nW+bYm9ab425Bi9p5B25cZ2/Xoak10krjQMnGcmrGefzmuXg38UQ9tpjiCoXq1rEF9wIldteyoI8dGKaAGuAPVz5KZYeS2oRkb5gJBoRbm3reTxmUo7S0lNLSUgA6derE8OHD2bx5c0NVugKzVfUo8LGIrANOcXnr3MKFiMijwFQg7QooxqGOntw1D1+gy561wLkJy4er9hBp06115wM1MP7jv6c1iipe6fiP434HderkwRu0kdtkVAGJyABgHtAHiAJzVPVuEbkduBaocEW/r6rPuTq3ADPwlvj7tqoudOlTgLuBMHC/qt6ZKbnfPWE4y8bdQmXHvrELqc2MN2H4JwgGoIhqFE/8G3NMjnSR5Ho2bNjAihUrOPXUU3nttdf43e9+x7x58ygrK+Ouu+6iW7duAG2Ajb5qm4CY3Ss+/dT4c4jITGAmwMCBA1t0GR0OlnPomH4191Gqj3DSe/cA305Y/ro/fsX7Hv2/gQy6Y9fr/fiXC4+jXo/IlWtIrln3T27V6zFSoXkvAiK533PNdA+oGrhJVf8pIp2A5SLyksv7lar+P39hERlBwKaamPI5dEzcuEBDb5l++3srKaKEiideUabzDTfB9Rw4cICLL76YX//613Tu3JlvfOMb3HrrrYgIt956KzfddBMPPph0FXUl8RhkPYuEqs4B5gCUlZW1yGIxfvl/s/jzvyBa1J5Q9WG++Pr3mraYcabNVol6P6pJf0Mt/m2ZGS54grLBtTQUQxrIqAJS1XKg3O3vF5HV1L75JmIq8GiQppoQic00gLcfexONt8PH9jOoiO6f/ihH2/b0DhpTPOk2r8RdT6S6kr9uvpsrrriCiy66CIDevXvXFL/22ms5//zzY4eVwABfa/2BLW4/WXpGWHX8lUSLOwAQLe7AquOv5JIF32+4UlBheRro/bSILAgzZEDwXmhBn78VveBEZBAwFnjTJV0vIu+IyIMi0s2l9SOxqSZZevw5ZorIMhFZVlFREZ/dKK+dch6fDpxM28M7vYTYH9Q9CNoe3sGs+yd725yzmTXnbG+AN/agSObu6ntwN8dzLuaBd7RdSf12/QovXo50bXHnUuDhf/yKys0duPHGG2vkLC8vr9l/+umnGTVqVOxwDzBNRNqKyGBgKLAUeAsYKiKDRaQNXu83xbAEzWNnj5G11wPs6tHoFNTE7tgizL7mhbTKNvuaF+srhAZ6P80l+fWYN1yrYp3O1nFCEJFjgKeAf1fVfSJyD/ATvGfZT4C7gKtJrJIzbqr548VfJ9T2FA6MvalW5uojnreUb6xg+Kof4T0ja4k9HGpMYo31iKDu+EySnlEd236y3k6sXf9+NJpec0qC61m/9T2Wrl1E3+6D6d/jM/Qc0Imf/exnPPLII6xcuRIRYdCgQdx3332xVo4AT+P1WKuBWaoa8ZqU64GFeGN7D6rqqvQJX58eO1exrc+pNdfUfecqvM50E6gxW6X575PI/Jbu3k8izAxXmATfAcq8AhKRYjzl87Cq/hlAVbf58v8A/MUdbqIVTTUvfnYCHDOEQ8Mu9wsMqmioDb22vsmuHiPpvnMVfTfO57R/Jlm2mSYoIkiujFCIamKnghQUT0bHmnzX85nSE/nd11+u0+P6+M9R5s+fn7QdVb0DuCNB+nPAc/VrZIaRa+ajUHNfR6yZDzRigoPWN1vFPPSOrgUy4BxgZrjAkXo7hUdGX3nEizXxALBaVf/Hl17qK3Yh8J7bf5ZWMtW8+NkJ9N+/lbWfuSQmVLzwnLBmPl9/cCqXLPh+g8rHT8w8l9A0l2ziYM1xqHbtl0Tl4ttxkxNnzTk7Yx5MSa8nJl/sM4cmNI5cM5/TX7+ZkWvmc7g4tTqBREVQ5d/mz8pI08nNcAszcj4jA7RUcWWBE0Km+9ynAVcCZ4nISredB/xCRN4VkXeACcANAM788jieqeYFnKlGVauBmKlmNfB4S0w1K55/lX773TLMfjNKnBI68YPUlE4i6j24U1FGDY3txNfPsOJp8HpicsTLmkNKSIFDxVD2bvPvcTrHTRKO/7QmsXM3e20Zo9lkgSIIikx7wf2DxHo6qckl06aaFc+/inz3+pY2kzL1JgEm856L4Vc8MXzeUEHP1agTdTleCanWKKGg5UyFliqftI6bNBR8NFOYGa7ACf6eF9yo4+bFr1EUqU584f6eRgYGfxv1nmvIxNaKvZ3GmHX/5IZNcjnUE2oS0WrvM9OmuAz+Bv1kTbDVQiX453/gFJwC6nfmaVSHi2onH8aH3I899DP8sE9oovNvrWxiayoNmuQgqzyq3j1heFr+67Pun5IR9+XWcr828gsJ5b4GK7hYcGPPPYMV/A698TrePPlmCIn3EA2FIBpl7cCV/Pq/vtdq8uT6Q6aeSS4LTTkxVZh2ydJlhgvC/JaMNIflEZEwsAzYrKrnN1a+oKi530Hd9+B/b9nzmtqKHN+nE6+e9j9euB3nedbh4BYm/OM7THppXtDi5Rw1JjloNfNRc4n1X5otXaJF6jIwKTUQMtN7/Q6e45BRj+AVQNAUXA/o0IoVzPvNJ9Cmk5fg3mIPucCjgyqaFBnMcNQJjJkFzhINoTTfw7FeMM8WTkptSvDRTNApuoT94c9lpPcqIv2Bf8FzKrqxkeJ1ePgH/8WenWfWSSuu3EXPUR8D4+qV//3MhRBq3Kd+9nWveLJFqwBQX512h9cxY+5MHrzmvzhcdGai6vXaaYzYeWLEzifRKjT0RQCOdDipTnsnnbuTt5/v0Wjb5R+O864badbv70iHUfx+5kJ6HruMS3/wgybXTwcFp4Be/NkzRLq7BcmyweSRR2Sz0kkr6fQea2Lw0XRz1f0/rB8dO338Gvge0ClZgWSRzg9v+gy0r1u2qk13dr/9cZ30Nke2EpZ1aChCdWQc1cXHpCRY28jrABzl8zVK4Uj747xzN6J8mkLsPDGOOKXTNvI6EoEqxhKu3s3R9sfWlFn7wgrg7Ca1H60aTij6CUfaf7Z+mSObadPzA/YfmAhAceVuwpENULQPgD7DT2jqZaWNglNAm7ue5u0kmHi6ufTz9Cl/vX4lw/CRriUNgu79JCUN40Aicj6wXVWXi8iZycq1NNL5tQ9dnjQvWS+l3eEPmTH3RwA8cNXvOdIhcw/gGQ/8KKFM/vSHf3AbR3fWKiBtwryg+PYbInbu0rItfOmbNzVSunUoqDGgeVf8IfFEO/cgqSgZ26LJp0aB0tyxk4B7PwlJ3zjQacAFIrIBeBRvMvr/l3r11nIPz0IrSHYOn2aEglJA+zsO9naSRBkoqVgRkGRGzpHIGSFXycC1qOotqtpfVQfhhc56RVX/LW0naAlZds9afSRAs0fDFZQCqoc/jEw0Ql8zv+Utq46/klc/fyerjr8yLe21dEmDenN/AjS/FfaE1Cy87kyH5smilVQLZgzoiRm/hKKTkxfIoptipJdXP/+LmkXotvfxVvxufBWgJtLUOUHZaH7LEKq6GFgcsBhJyEITXFbKlBkK5qm7PXSSt9NAfzd7OqZGupgzfV6N8qkZ6+s1Nj2NJ50T1HAvaPUJQ5PkZNHbuAj3TX80QAGy6LvIMPUiGhTOpReOAkraw6kxfVQV0JdROFS19eZ3+V88JE1mrnqmqxQH8F/5wuyE5rcOh8uT1GhlnGzVseXfjVYmwz0gGwPKMlSZ8I8bOSoFY5EsTNyDvliXpK/N5gzgJzG/fW3+VemTq6lknVNFa8mRLdfrIwtFyhSmgHwUa3XQIhiZRpVrHvxJ2pprqjNCNjkf+CkoR4Q6ZvhsHG/JRpkyQ0EooDnffjIlX8eC+DIKjfgHe6Yf9I2Z4QrI+SBryTZFW8ARWXLqmSsiU0RkjYisE5GbU61XdahzrIEGyx0Mp7g+s5F7ZPKhk6Izwu9n/DW3HjZpXPG16RSyCS6zvxGNZs8154wCcmHdZwPnAiOAy0RkREqVU3CNPRAu5pRV77RERCPLuHf6vNpQNxlcpyhVZwQNt62bnyXmt4Rk4bpO6SO7XwI0w/Jl0zpCufTrOgVYp6rrVbUSL7zH1LQ1bson74gk8IDLGE11yY6Va4XFD1Mm6xwRWoPseRjHkExPRM0ickkB9QM2+o43ubQaRGSmiCwTkWUVFRW1Gf4/Vvyy17F0w2gBjfWCcmHV02xyRJBsNI1liFyyyqabXFJAiW5TnV+pqs5R1TJVLSspKalJ7zchWn/pa68CABffckrGhDYKiCS9oCWnnZNdq57mBIU7BpRpE1w2kUsKaBMwwHfcH9iSSsXNfY/jL6G1VO2YR5vQ/YTOqODi/yxjwJl94ew+bA5noQ3eyDmS9YKWD7/JFE82kW1u2HG/DTPBZSdvAUNFZLCItMGLsPtsKhXHD+nBx72H8Nvj/5W7SqYz4fgSIqt+y5/ef5G7/rmBK+5fwvJPdmdUeKNASNQLyuXeT6CecAVCvUg85gWXdahqNXA9sBBvjfnHVXVVKnXHHduNh68Zz42Tj+eZC4o5YeG/Ubr8Lv4Y+ilj+JCjVVGe+uemTIqfV2zcuJEJEyYwfPhwRo4cyd133w3Arl27mDRpEkOHDmXSpEns3l2r1EXkN859/h0ROdmXPl1E1rpteutfTXpJNjG1Dtns/eYnrz3hYmTPwzhGDr6mNJuc+mWp6nOqOkxVP6OqdzSl7rhjuzFrwnGccORtiFQSIkox1YwPrUaBJ5dvsl5QihQVFXHXXXexevVqlixZwuzZs3n//fe58847mThxImvXrmXixInceeedsSpdgKFumwncAyAi3YHbgFPxvBxvE5FurX9FGcS/5Adkp/ebn6zxhAv6/MGhufVYbhGFc6UxBp0O4TYgYaKhYpZEhwMQiURZsn5nwMLlBqWlpZx8steJ6dSpE8OHD2fz5s0sWLCA6dO9Tsz06dN55plnYlW6AvPUYwnQVURKgVVyMgQAACAASURBVHOAl1R1l6ruBl4CpqRN0GzqYeRI5INs8oTLGHUuL/j+hsTJEH+czxRe9M0Bp8D0Z2HD/7G+3Um8/2wV4eooxUUhxg/pEbR0OceGDRtYsWIFp556Ktu2baO0tBTwlNT27dtjxYpJ7ELfqGs9eO71eD0nBg4cmLpwAZmO2h7ewdEOJd6DPBfHfYxAyXf976fwFBB4SmjAKZwAPNxrN0vW72T8kB6MOza/rD+Z5sCBA1x88cX8+te/pnPnzk2trqTgWg+eez0wB6CsrCzr/57XzJ/G7JmLcnfsp6DIxp9T4by0FJ4JLo7Y2JApn6ZRVVXFxRdfzBVXXMFFF10EQO/evSkv99a0KS8vp1evXjXFSexC32zX+sZIOPGzFem2y/nHxM89y9axn2wjk92AbHPDrhcaJ7OPZc0ipVvwCshoOqrKjBkzGD58ODfeeGNN+gUXXMDcuXMBmDt3LlOn1kRK2gNcJR7jgb2qWo7n0ThZRLo554PJLq3lBOz6fPmT36HbzvcgUl07CTpXlY+5YmeUQrbSFqYJzmgRr732GvPnz+fEE09kzJgxAPzsZz/j5ptv5tJLL+WBBx5g4MCBPPHEE7Eqe4H1wDrgEPA1AFXdJSI/wZvjBfBjVd2VdoEDGou5/MnvtPo504L/+xLxjlt7PC2Tt6tO7yp7egO1FI5GMgVkNJkvfOELaBITycsvv5wwXVVnJUl/EHgwbcJBfXf62EMUOHbLQuDsdJ4u7+g36j02vz86WCeKVjPBZSPZLl/6MBOckXe8c89DiTNUOf8vv2xVWXKRL3/nhsJyxQqceGeVTEdCyGjzTcIUkJF3HPvmoroJ7mFaHd0TgDRGsyicTkB9sr6Hlj5MARl5R2W3BPO5VPnO/V9pfWGM5lFAPTCp565fOI/lwrlSo2Dofe01QYtgZDVZ5oZdj2yUKTOYAjLyjuiIE4MWIf8wV+yMkcyhpxAwBWTkHe8veq1+tAGLPtB8AomKXbgL0hXSY7lwrtQoGI5dthghEpcaf2w0SNZExc5/6o0BZdoEl0X31BSQkXcc2rqdkooV3kHMA441AUqUewQfFTt7HpKZppBNcDYR1cg7SlcvYyBvIcDOHiPptnMVly74ftBiGUaKFE6/IGMKSER+CXwJqAQ+Ar6mqntEZBDeiqaxV9IlqnqdqzMOeAhoDzwHfEdV1S1c9hgwCNgAXOrWjzGMehS5t+eRa+ajxN6lTQG1JiLSDngVaIv3nHlSVW8LVqpcwbzg0sFLwChVHQ18CNziy/tIVce47Tpf+j14677EVs+MLU52M/Cyqg4FXnbHhmFkL0eBs1T1JGAMMMUFok2RTJqlsv0Bb2NALUZVX1TVane4BC/UflLcCpmdVfUN9Yyi84Avu+ypwFy3P9eXbhj1iMb9geOPjWbSBFdst/rtAXdY7LaUn3zRUOLFIY+0H5dqE83ij98Mvqd8pMPQoEVoNVrL2Hg18LzveLCIrBCRv4vI6S6tH976MDH8q2P2duH7cZ+9SICIzBSRZSKyrKKiIr1XYOQMG44dCdQ+7WLHRgtohiu2iIRFZCWwHW/p9TcTlEn4n42G27dU4qS06/tJzX5Rj0118g5F0xeotv2R1+uf+9C7SLSuR+aw005Nuc3iyuaHkyqu9ALNHzc+9fNlmhaNAYnIIqBPgqwfqOoCV+YHQDXwsMsrBwaq6k435vOMiIwkxdUxGyLXVs40MsOXFj7BC2ecS9+KT9lSMpAvLXyi8UpGfaJRCIebHRVbVSPAGBHpCjwtIqNU9b24Mgn/s0VVm6guHtFg+6dNS31u15du7EOXHr0oKi6mY+ezatKn/+pn7N25g22frKeobbua9Gg0QnVlJUNGnkSbdl767OteSdj2v90xmp1btzBw2HCKios5uG8voXAR7TueVa/sjHn1l+gYc+bZHP/Zg2xcs4pQcTGhUJjiNm3p0OkYiorbUrFlI8d07ky4uA1dupfQpl079u7cQcfOXVK+foCZD2ZfKKoWKSBVbfB1QUSmA+cDE51ZDVU9imcfRlWXi8hHwDC8Ho/fTOdfHXObiJSqarkz1W1vidxGfrPi+Vcp3bGJsEYp3bGJFc+/ythzzwharJxj1v2TEy8t3kSc89FivDHd9xopnjG69OiZND1ZXqrt+us3VTEAtO/YkWEnn5K0/VTScpGMmeBEZArwn8AFqnrIl14iImG3PwTP2WC9M63tF5Hx4s3MugpY4Ko9C0x3+9N96YZRjzXzHqM4Wk0IKI5Ws2beY0GLVHC4/3lXt98ebxGmD4KTJxzUqY0GyOQ8oN/huWC+5Gb6xtytzwB+LCLVeNPTr/OtgvkNat2wn6d23OhO4HERmQF8ClySQbmNHEd37Wzw2GgVSoG57mUzBDyuqn9Jvbo5jhQCGVNAqnpckvSngKeS5C0DRiVI3wlMTKuARt5ysEOXBo+NzKOq7wBjM3kOCRfOhM18xe6gkXcsGXoqlRImAlRKmCVDs8frxwiGcJE96rIRC8Vj5B1rew7mnpO+zBe2vMs/+p7I2p6DgxYpd/F7wsWOWwUzwRUC9lpg5B1dPv6A61c+xcnbP+T6lU/R5ePAxr5znln3T4ZIxFNAkYh33CqYAioErAdk5B3XLnuCMN4jTNyx599iNIfWUzqZI9SqaxkZqWJ3xcg7BhzY1uCxYRjZgSkgI++ISqjBYyMHaOHk13hCITP2ZCP2zzTyjj3dSxs8NnIAC6RVEJgCMvKOypI+DR4bhpEdmAIymszVV19Nr169GDWqds7w7bffTr9+/RgzZgxjxozhueee81fpIyLrRGSNiJwTSxSRKS5tnYikbY2no526Nnhs5ABpNsHZpNXsxO6K0WS++tWv8sILL9RLv+GGG1i5ciUrV67kvPPOA+D9998H6A6MxAtG+XsXpj8MzAbOBUYAl4lIw+GPU0SP6eh9xh0bOUQKJjgJmat2rmMKyGgyZ5xxBt27d0+p7IIFCwB2qepRVf0YWAec4rZ1qrpeVSuBR/EWHmwxJa97i6ZJ3LGRQ6S5B2RkJ6aAjLTxu9/9jtGjR3P11Veze/duADZv3gxQ6SsWW2iwH7AxQXo9mrrQ4DGVhxo8NgoPmweUndhdMdLCN77xDT766CNWrlxJaWkpN910EwCaeP15pQkLEKrqHFUtU9WykpKSRmXZ3y7E5tLPs2L0LDaXfp797exnbhjZiDnHG2mhd+/eNfvXXnst559/PgD9+/cHaOMr6l9ocECS9Bbxcd+J7OvnWfN2dxtO580d+UI6GjZakRRMcE2Y3xUK23pA2Yi9Ghppoby8vGb/6aefrvGQu+CCCwC6i0hbERmMtwDhUuAtYKiIDBaRNsA0vIUHW8yhki96O24coebYyC+0tQKjGpnCekBGk7nssstYvHgxO3bsoH///vzoRz9i8eLFrFy5EhFh0KBB3HfffQCMHDkSYBfwPlANzFLVCICIXA8sBMLAg6q6Kh3yRcPtGzw2DCM7yJgCEpHbgWuB2Kjx91X1OZd3CzADb0XUb6vqQpc+Bbgb74F0v6re6dIH43lJdQf+CVzpPKeMAHjkkUfqpc2YMaOhKltVtSw+0f0enktQvkV0r1jJjj6n1iwh0L1iJXBeuk9jZBQLxVMIZNoE9ytVHeO2mPIZgWduacq8kJ+7toYCu/GUl2EkRAAiVUi0ml5b3+TENfN59Ce3BS2W0QTUlmMoCIIYA5oKPJrqvBAREeAs4ElXfy7w5QDkNnKAO771v1T0ORXCxWioqOYx1v25pwOVy8gAFmQ258n0HbxeRN4RkQdFpJtLSzb/I1l6D2CPqlbHpdejqfNFjPyj89G23o5zQNjWy7P89d1dFZRIRrNIswkubCa4bKRFCkhEFonIewm2qcA9wGeAMUA5cFesWoKmGpoXkrH5IkY+EveTdm/JZtAxjOyjRa8Fqnp2KuVE5A/AX9zhJpLP/0iUvgPoKiJFrheUtvkihmFkK+l2QrBXkGwkYyY4EfEvwnIh8J7bfxaYluq8EPWm0v8N+IqrPx1YkCm5jdzGRgXyBVMYhUAmDaO/EJExeOayDcDXAVR1lYg8TtPmhfwn8KiI/BRYATyQQbmNnCaK9/Nx2GRFw8haMqaAVPXKBvLuAO5IkJ5wXoiqrsfzkjOMpCy5dx4S6YYWdaiZA9T2yC4A9rUNUjKj6ZgTQiFgd8XIC5bcO48Vy3uhRe4nLQKqVBe1Y29b+Nzbq4MV0DCMepjJ3MgLKlZsJBoK15sbEinuYMonJ0lvDyhswUizElNARl5Q1C4EhGpMbzHaHN3LH/5rVjBCGc0nhQXpQmJKJdcxE5yRFxw8WOT5HjjTW4yeu1ZR9MlrwQlmGEZSrAdk5AfhuJ+yKqLV9Nm2lP2d2gUjk5E12HpA2Yn1gIy8oOPRXdCWmt5Pzx1vM3DjIrrs+5iDU84KVjijGdi7cSFgd9nICyJaDKgbO4jSef8ndN33MQA9Xn8jUNkKEREZICJ/E5HVIrJKRL7TlPoJY20ZeYf1gIy8INy1LRyJjf+EKKo6UJM3cNvh4AQrXKqBm1T1nyLSCVguIi+p6vupVW/cCSEcTt1Trqi4OOWyRuthPSAjL6g+EsXfA6ouPqYmL2TBEFodVS1X1X+6/f3AapJEsW8ukYj1k3IdU0BGXlAydgChaDVEI4SiEbruWVuTd7iNhUEIEhEZBIwF3kyQl3AJlXDowxafd/wlR1vchp9OHV+ul3bi5G1pPUehYSY4Iy/o0vkoY9+5m91dhtF1z4d03behJm9fxzbBCVbgiMgxwFPAv6vqvvh8VZ0DzAEoKyur6dKcfNUXeO3Rlp173MRzGTexZW34uequetHDjBZiCsjICw7//QW67P2YLns3oNRdSCocPRigZIWLiBTjKZ+HVfXPQctjZB9mgjPygy6xBXdj6qeW7T06tro4hY6ICF7U+tWq+j+ZOEdTnBCM7MQUkJEXhNatYW/nwWwYeA57Ow9GqFVDB3uVNlTVyAynAVcCZ4nISredl2rlaNQ8RwoBM8EZecGhA114+6TriYbChKIRxr79G7rs+xgF+n70adDiFRyq+g9sVTmjEawHZOQF+9p+hmioCCRMNFTE7q5Da/Ki4c4BSmYYRjIyuST3Y76u9wYRWenSB4nIYV/evb4640TkXRFZJyK/cXZkRKS7iLwkImvdZ7dk5zUKkwPFvYDYRFThQPveNXnScUBgchnNwy2S3CBii8zlPBlTQKr6r6o6RlXH4HnC+L1gPorlqep1vvR7gJnAULdNcek3Ay+r6lDgZXdsBMTVV19Nr169GDVqVE3arl27mDRpEkOHDmXSpEns3r0bAPVisw1wLxXviMjJsToiMt29VKwVkektkWl35+NjjQKwp9uwmryq6sYfZoZhtD4ZN8G5XsylwCONlCsFOqvqG+o9teYBX3bZU4G5bn+uL90IgK9+9au88MILddLuvPNOJk6cyNq1a5k4cSJ33nknAM8//zxAO7wXipl4LxmISHfgNuBUvOXWb2tJz7ZN5EDd48ra49DB/c1t1shiNFIdtAhGC2mNMaDTgW2qutaXNlhEVojI30XkdJfWD9jkK7OJ2tAdvVW1HLwQH0CvRCdKNqvaSC9nnHEG3bt3r5O2YMECpk/3OjHTp0/nmWeeqUkHdqrHEqCre9k4B3hJVXep6m7gJWp7vE3mcHFd3XW4Xe1xjwO7m9usERDRqIXZKQRaZEQVkUVAnwRZP1DVBW7/Mur2fsqBgaq6U0TGAc+IyEgSe8w06VeYbFa1kXm2bdtGaann7lxaWsr27dsB2Lx5M0Clr2jsxaIfsDFBerOIFHVMehy1UDyGkZW0SAGp6tkN5YtIEXARMM5X5yhw1O0vF5GPgGF4D6D+vur9gS1uf5uIlKpquXt73t4SuY3WQzXhe4A/UEF8ej1EZCae+Y6BAwcmPE8ocphoUYc6x7HGdvYdnLrARs5gTgi5T6ZNcGcDH6hqjWlNREpEvMXcRWQI3tjAemda2y8i49240VVArBf1LBAbpJ7uSzeyhN69e1NeXg5AeXk5vXp5VtL+/fsD+IOxxV4sNgEDEqTXQ1XnqGqZqpaVlJQkPH9x9aG6x1WHajTcCateb+LVGEGjahNRC4FMK6Bp1Hc+OAN4R0TeBp4ErlPVXS7vG8D9wDrgI+B5l34nMElE1gKT3LGRRVxwwQXMnev5icydO5epU6fWpAM9xGM8sNe9bCwEJotIN+d8MNmlNYtwpKrucbQqSUnDMLKFjPZhVfWrCdKewnPLTlR+GTAqQfpOII1xbY2WcNlll7F48WJ27NhB//79+dGPfsTNN9/MpZdeygMPPMDAgQN54oknADjvvPPAM7muAw4BXwNQ1V0i8hPgLdfsj30vIk2m39a/sfYzl9csyd3h8Hb2dh5MZ7cqqpFbRCPWAyoEzIhqNJlHHknsUf/yy/XXS3FziT9V1bL4PFV9EHgwHTJ1PrQJNAISAoQdPUezq/sIxrz9G6qP7kjHKQzDSDMWisfIC3Yfc7ynfMT9pCVEVMLs6TqUyvYWDTsfCYmFmst1TAEZeUF1uB21oXjwPiXEgfa9aXfY1gPKNdSiYRcEpoCMvGB3Vxd6R6R2A7aX1LP8GXlCNLGLv5FDmAIy8oLD7XyRGfwPplCItpHK+hUMwwgcU0BGXhDxTUJFfKa4aJSQzSnJPVIIxWNjQLmPKSAjL+hyZJ23o+rGf7yHU1H0MJ+OOCVAyQzDSIYpICMvaN9xPXUi+bgeUHWoPV9+4v5ghDIMo0FMARl5waF9Q4Fa54Oaz5D9xHORqHnBFQT27zTygkPtSusmuB6QRI4GII1hGKlgCsjICzpUba09iPV+IlV884F/CUYgI+OEwvb4ynXsDhp5wXBe80LxOCcE0WpKqt9gxfOvBi2a0QwUM8EVAqaAjLzg0+hQ8Fb5AKBk23JGLHkC+e71poQMI0sxBWTkBVs6jPd2YhEQepURRglHqtm8+LUAJTMyhUXMzn1MARn5gYTqHVcjRMJF9DvztGBkMpqNRizMTiFgyzEYeUHx0T1UtetW4/1WfHQPn0y9kn5nnsbYc88IWDojE5gTQu7T4jsoIpeIyCoRiYpIWVzeLSKyTkTWiMg5vvQpLm2diNzsSx8sIm+KyFoReUxE2rj0tu54ncsf1FK5jfxi4JE3vR1nght45E3O//ktpnwMI4tJxyvEe8BFQJ2RXhEZgbck90hgCvB7EQmLSBiYDZwLjAAuc2UBfg78SlWHAruBGS59BrBbVY8DfuXKGUYN2scFI3U9oJpjIydRIkGLYLQCLVZAqrpaVdckyJoKPKqqR1X1Y7wlmU9x2zpVXa+qlcCjwFTxls48C3jS1Z8LfNnX1ly3/yQw0ZU3DJbcO4/dFZ2AWAy4KJGd+4MWyzCMRsikEbUfsNF3vMmlJUvvAexR1eq49Dptufy9rnwdRGSmiCwTkWUVFRVpvBQjW1ly7zz+ubw3uzudQO2CdCHaHN4TtGhGpgmFGy9jZDUpKSARWSQi7yXYpjZULUGaNiO9obbqJqjOUdUyVS0rKSlpQDQjX/j0tXI0VORbitv7qazrdkGAUhki8qCIbBeR95pTX1NYjsHIfVLyglPVs5vR9iZggO+4P7DF7SdK3wF0FZEi18vxl4+1tUlEioAuwK5myGTkGZXRLgnTNWQOngHzEPA7YF7AchhZTCZNcM8C05wH22BgKLAUeAsY6jze2uA5Kjyrqgr8DfiKqz8dWOBra7rb/wrwiitvFDhR/zuUDQtmDar6KvaSaDRCOtywLxSRTcDngL+KyEIAVV0FPA68D7wAzFLViOvdXA8sBFYDj7uyAP8J3Cgi6/DGeB5w6Q8APVz6jUCN67ZR2HStXO/txL+PWDj/nCDZuO2A4aMardujT2mjZYzspsV2ClV9Gng6Sd4dwB0J0p8DnkuQvh7PSy4+/QhwSUtlNfKPiLb1duJ6Px2PbklQ2sg2VHUOMAegrKys5i1iyMjR/NsdO9i5dQvdevUC4E+3vg/AwNGrGDNpMt1K+gQgsZFOzFBu5DR72w9MmH60uGsrS2Kkmy49etKlR09filNAJ45kwNDjgxHKSCsWy8LIaQ61TfwWHAm1bWVJDMNoKqaAjLQyaNAgTjzxRMaMGUNZWU1kprCIvORCLL0kIt0AxOM3LsTSOyJyclPPp5J4LkiHo1sTphutg4g8ArwBHC8im0RkRmN1Um47ZM4m+YKZ4Iy087e//Y2ePf2mE0qBx1T1Thf772Y8h5Nz8bwjhwKnAve4z9SJ94V0zgijxtpE5CBR1cuClsHIfqwHZLQGXakNpRQfYmmeeizBmwfWJNemNpED9RM1ilx8bfOlNQyjVTAFZKQVEWHy5MmMGzeOOXPmxJKLVLUcwH32cunJwjLFt5k0xFLXyrXeTpwb9mVz3mD5J7tbfD2GYWQOM8EZaeW1116jb9++bN++nUmTJnHCCSc0VDzlEEskcNUFOCLO1Od3w5YQ1376Dk/9cwDjju3W1EswDKOVsB6QkVb69u0LQK9evbjwwgtZunQpQHXMtOY+t7viDYVrSo1oVd1jp4g6tj+Z9isTBWk3DCNbMAVkpI2DBw+yf//+mv0XX3yRUaNGAeyhNpRSfIilq5w33Hhgb8xUlyrV4fZ1E9RbkkElTM9tFhHbMLIZM8EZaWPbtm1ceOGFAFRXV3P55ZczZcoUgHJgknPF/ZTaqBbPAefhrRV1CPhaU89ZXdSx9sApn9h4UFWbo829FMMwWgFTQEbaGDJkCG+//XairIiqToxPdAFlZ7XknN0r17K1zSm1ysfR5sguDhzdzPJPdts4UL4hZrjJF+xOGrmNuKCjMeXjej+V7bpz5HAX/vW+180bzjCyFFNARk5TKZ3qJzpl1KPdsVRH4d6/f9TKUhmGkQqmgIycpor2SfOEEOdseIPt+460okRGpgklCb9k5B6mgIycRhr4CXc+sJHvrHyKbxxs1qrQRpYS1UjQIhhpwhSQkdO0KXKu1v5ICKoQjXDsxpcBOH7ZKwFIZhhGY7RIAYnIJSKySkSiIlLmS58kIstF5F33eZYvb7GIrBGRlW7r5dLbishjLjLymyIyyFfnFpe+RkTOaYnMRn5RiRsD8nnAFVUd4OS3f02XfR8jQFGvXokrG4YRKC11w34PuAi4Ly59B/AlVd0iIqPwlt/2x/i6QlWXxdWZAexW1eNEZBrwc+BfRWQEMA0YCfQFFonIMFXrhxuwL+wCKfjcsBWl4/5PUUCKiuhxTdpWAjCyABsDyh9a1ANS1dWqWi/eiaquUNVYSJVVQDsRaWyFsKnURkx+EpgoIuLSH1XVo6r6Md6kxXrLdhsFSqjY+/T1gCLFnfjv029k/dSrOHb+PDqMHRuQcIZhNERrjAFdDKxQVf+09D8689utTsmALzKyqlYDe4EepBgxGRqOmmzkKUliwfWgA/suusKUj2FkMY0qIBFZJCLvJdimplB3JJ4p7eu+5CtU9UTgdLddGSueoAltIL1+ouocVS1T1bKSkpLGxDPygHFlFaDRWicE9zlk10csXrO9gZpGrhIO24qo+UKjCkhVz1bVUQm2BQ3VE5H+wNPAVapaMxNQVTe7z/3An6g1p9VERhaRIqALsIt0REw28pbx113FgOpXa5WQCKBIuB3bbP6PYWQ1GTHBiUhX4K/ALar6mi+9SMRbwEVEioHz8RwZwIuMHIuY/BXgFRcr7FlgmvOSG4y3fPPSTMht5B6r//QHeq1aRrvDrrejXqd5e5t2fG5Ij0BlMzJDJJLQAGLkIC3yghORC4HfAiXAX0VkpaqeA1wPHAfcKiK3uuKTgYPAQqd8wsAi4A8u/wFgvoisw+v5TANQ1VUi8jjwPlANzDIPOCPG9r+v4L3RN0DIeUaJgEbpUdSDA9sOByucYRgN0iIFpKpP45nZ4tN/Cvw0SbVxSdo6Qm2Y/vi8O4A7mimmkcccGjwBPg7FBSMV2rUpofjN3SwetokzT+sfqIxGerExoPzBIiEYOU23roch6sZ/fHOBRIQw8ObfPg1WQMMwkmIKyMhpjq5YgohS4xip0UDlMQwjdUwBGTnNvnbHoRLyFinTKG0ObyGCEkWJAKdOGBi0iIZhJMEUkJHTdD6yjlA0AlHPL6X33lU82yPKhtJiTrryeBv/yUMkbAs55wt2J42cptcXx7Jv/it8OtCLUbuxz2T+fc1TnP/U7wOWzDCMxrAekJHz7Ogx2ttxDghbOk/i1Yf/HqBEhmGkgikgI6fZ/vcVHOrQu05aVZvOvPf3I6aEDCPLMQVk5DQVbUZ7DgixeUAiIIJKmI1LNwQqm2EYDWMKyMhp9u9rV3sQmwvkJqMeDjW2AohhGEFiTghGTnOkyBf13LcmEKpU7bWft2FkM9YDMnKaaNjXy6np/cSwHlCQiMgUEVkjIutE5OZ0tRsSC8WTLxS0Ajq0YgU77pvDoRUrghbFaAazr3mxbq8H6hxHi9q3skRGDBEJA7OBc4ERwGUiMiJYqYxso2BtFIdWrODTr12NVlYibdow8I8P2uqZASEiU4C78SKk36+qd6ZUMRSKNVD308gGTgHWqep6ABF5FJiKF9XeMIAC7gEdWvoWWlkJ0ShaVcWhpW8FLVJB0qI35aiL++Y3vfn3oxYXLkD6ARt9x5tcWh1EZKaILBORZRUVFQ02eEzbRbQ9Us6wk09psJyROxSsAupwymeRNm0gHEaKi+lwymeDFqlQqXlTVtVKIPam3Ciz7p8MkUi95bhRhUjEyzeCIlF3tN5Kcqo6R1XLVLWspKQkQZVapt/9M6556Ip0yWdkAQVrguswdiwD//ggh5a+RYdTPmvmt+BI9KZ8qr+AiMwEZgIMHFg3uGhMyWxdv5fNH+6m37Bu9BnSJZPyGqmxCRjgO+4PbAlIFiNLaVEPSEQuEZFVIhIVkTJf+iAROSwiK912ry9vnIi86zxjfiPiGe5FpLuI05Jl2QAABjJJREFUvCQia91nN5curtw6EXlHRE5uicx+OowdS8+vzzTlEyyNvimn8pbcZ0gXxk0ZZMone3gLGCoig0WkDd4Kx88GLJORZbTUBPcecBHwaoK8j1R1jNuu86Xfg/c2O9RtU1z6zcDLqjoUeNkdgzc2ECs709U38gd7U85DVLUauB5YCKwGHlfVVcFKZWQbLVJAqrpaVdekWl5ESoHOqvqGqiowD/iyy54KzHX7c+PS56nHEqCra8fID+xNOU9R1edUdZiqfkZV7whaHiP7yKQTwmARWSEifxeR011aP7w33hh+z5jeqloO4D57+eo06k0DTfOoMbIDe1M2jMKlUScEEVkE9EmQ9QNVXZCkWjkwUFV3isg44BkRGUmKnjHxIqRaR1XnAHMAysrKGmvXyBJU9TnguaDlMAyjdWlUAanq2U1tVFWPAkfd/nIR+QgYhtd78S9R6bf3bxORUlUtdya27S7dxggMwzDykIyY4ESkxE0wRESG4DkQrHemtf0iMt55v10FxHpRzwLT3f70uPSrnDfceGBvzFRnGIZh5C6i2nxLlYhcCPwWKAH2ACtV9RwRuRj4MVANRIDbVPV/XZ0y4CGgPfA88C1VVRHpATwODAQ+BS5R1V1OUf0Oz1vuEPA1VV2WgmwVwCfNvrhaegI70tBOJshm2aBWvmNVteFZhimSxvsK2f395YJsabuvYP/ZLCAj97UhWqSACgERWaaqZY2XbH2yWTYw+VqCydZ8slk+k60uBRuKxzAMwwgWU0CGYRhGIJgCapw5QQvQANksG5h8LcFkaz7ZLJ/J5sPGgAzDMIxAsB6QYRiGEQimgAzDMIxgUNW82YDjgZW+bR/w70B34CVgrfvs5soL8BtgHfAOcLKvremu/Fpgui99HPCuq/Mbas2YqZxjC/ARXhTxR4B2wGDgTVfvMaCNq9fWHa9z+YN8Mtzi0tcA5/jSp7i0dcDNvvRUzrHB1V0F/HsTrqk1vrc1brP7ml/39R3gQuw/m6/3tuYcSZ/ZQSuNTG1AGNgKHAv8InZz8ZZ5+LnbPw9vMqwA44E3fV/wevfZze3HvuSlwOdcneeBc116Y+fo537MS13648BX3ec0l3Yv8A23/03gXrc/DXjM7Y8A3nY/xMF4f46w2z4ChgBtXJkRvnMlPQcwCi/g65N44ZkW4UWvyIbvLf4cdl/z8L7avc3ve5v0OR20osjUBkwGXnP7a4BSt18KrHH79wGX+eqscfmXAff50u9zaaXAB770mnKNnYPaqN5r8eLZ/QU4B2/mcZEr+zlgodtfCHzO7Re5coL3JnWLT4aFrl5NXZd+i9uksXMAlwAP+M5xK/C9bPjeEpzD7mse3lf7z+b3vU225fMY0DS8LjM0famHhtKbtZyEqm4G/h/eG9C7wF5gObBHvSUJ4turkcHl7wV6NEPmHimc4z3gdGA/3h/tPLwAsIF/bwnq2H3Nz/sKdm/z+d4mJC8VkFvY7ALgicaKJkjTZqQ3eg63xPhU4HU8u29HvNVek7WXLtkaklnAW1gQ+DnQF8++/DZeHL9ktNr3FkcYu6+NpdecI4fuq9p/NqX0mnPk0r1tqEJeKiC8H8k/VXWbO94WW0U1xaUeGkpvcDmJBs5xNvAx0Bsv2Oqfgc/jrfBalKC9GhlcfhdgVzNk3pHKOfBWod0PnObOszZLvjd/neHYfc3H+7oF+8/60/Pt3iYlXxXQZdR25aHpSz0sBCaLSDf3FjQZzwbb7OUk8H7AE/B+MFuBicD7wN+ArySpF2vvK8Ar6hlWnwWmiUhbERmMN/C4lCRLW7s6qZzjauAVvB/QRe77C/x7858D7y3U7mue3VfXjv1n8/feJqehAaJc3IAOwE6giy+tB/Ay3hvCy0B3ly7AbDxPlHeBMl+dq/HcCdfhLQERSy/Ds79+hLdMhDThHNvwXCffA+bjecUMwfsxrsMzP7R19dq543Uuf4hPhh+49tbgPFNc+nnAhy7vB770VM6x38n+NjAxy763d/He8uy+5t99LcP+s3l7bxt7XlsoHsMwDCMQ8tUEZxiGYWQ5poAMwzCMQDAFZBiGYQSCKSDDMAwjEEwBGYZhGIFgCsgwDMMIBFNAhmEYRiD8/3XdOW+65HBgAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for file in sorted_files[0:1]:\n",
    "    \n",
    "    D11=pc.ATL11.data().from_h5(file)\n",
    "   \n",
    "    plt.figure(1, figsize=[6, 4]); plt.clf()\n",
    "    plt.subplot(131)\n",
    "    plt.plot(D11.x_atc, D11.h_corr,'.')\n",
    "    plt.subplot(132)\n",
    "    ii = (D11.fit_quality[:,0]==0).ravel()\n",
    "    plt.plot(D11.x_atc[ii,:], D11.h_corr[ii,:],'.')\n",
    "    plt.title(os.path.basename(file))\n",
    "   \n",
    "    plt.subplot(133)\n",
    "    plt.plot(D11.x_atc, np.sum(np.isfinite(D11.h_corr), axis=1))\n",
    "D11.index(D11.fit_quality[:,0] ==0)\n",
    "   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "# define the domain's width in x, y, and time\n",
    "W={'x':8.e4,'y':200,'t':.2}\n",
    "# define the grid center:\n",
    "XR=np.nanmean(D11.x_atc)+np.array([-1, 1])*W['x']/2\n",
    "ctr={'x':XR[0]+W['x']/2., 'y':0., 't':0.}\n",
    "# define the grid spacing\n",
    "spacing={'z0':100, 'dz':100, 'dt':.1}\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<class 'pointCollection.data.data'> with shape (19615,),\n",
       "with fields:\n",
       "['x', 'y', 'z', 'time', 'sigma']"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "D=pc.data().from_dict({'x':D11.x_atc[:,0], 'y':np.zeros_like(D11.x_atc[:,0]),'z':D11.h_corr[:,0],\\\n",
    "                       'time':np.zeros_like(D11.x_atc[:,0]), 'sigma':D11.h_corr_sigma[:,0]})\n",
    "# To ensure a time-constant simulation, replicate the data at times -0.5 and 0.5:\n",
    "#data=pc.data().from_list([D, D.copy().assign({'time':np.zeros_like(D.x)}), D.copy().assign({'time':np.zeros_like(D.x)+0.5})])\n",
    "data=D\n",
    "data.index(np.isfinite(data.z) & np.isfinite(data.sigma) & (data.sigma>0))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# define the expected statistics of the surface\n",
    "from LSsurf import smooth_xytb_fit\n",
    "E_d3zdx2dt=0.0001\n",
    "E_d2z0dx2=0.006\n",
    "E_d2zdt2=5000\n",
    "\n",
    "data_gap_scale=2500\n",
    "\n",
    "data1=data[(data.x > XR[0]) & (data.x < XR[0]+W['x'])]\n",
    "\n",
    "scale_vals=np.array([ 0.001, 0.003, 0.01, 0.03, 0.1, 0.3, 1, 10, 100])[::-1]\n",
    "sigma_hat_vals=np.zeros_like(scale_vals)\n",
    "sigma_hat_s_vals=np.zeros_like(scale_vals)\n",
    "N_vals=np.zeros_like(scale_vals)\n",
    "S=[]\n",
    "d_ed=[]\n",
    "for ii, scale_val in enumerate(scale_vals):\n",
    "    # run the fit\n",
    "    E_RMS={'d2z0_dx2': E_d2z0dx2*scale_val,\n",
    "     'dz0_dx': E_d2z0dx2*data_gap_scale*scale_val,\n",
    "     'd3z_dx2dt':E_d3zdx2dt ,\n",
    "     'd2z_dxdt': E_d3zdx2dt*data_gap_scale,\n",
    "     'd2z_dt2': E_d2zdt2}\n",
    "    \n",
    "    S.append(smooth_xytb_fit(data=data1, ctr=ctr, W=W, spacing=spacing, E_RMS=E_RMS,\n",
    "                     reference_epoch=1, N_subset=None, compute_E=False,\n",
    "                     max_iterations=5,\n",
    "                     VERBOSE=False, dzdt_lags=[1]))\n",
    "    d_ed.append(S[-1]['data'])\n",
    "    d_ed[-1].index(d_ed[-1].three_sigma_edit==1)\n",
    "    sigma_hat_vals[ii] = LSsurf.RDE(d_ed[-1].z-d_ed[-1].z_est)\n",
    "    N_vals[ii]=d_ed[-1].size\n",
    "    sigma_hat_s_vals[ii] = LSsurf.RDE((d_ed[-1].z-d_ed[-1].z_est)/d_ed[-1].sigma)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "    \n",
    "# plot the results\n",
    "fig=plt.figure( figsize=[6,6])\n",
    "fig.clf()\n",
    "x0 = data1.x[0]\n",
    "\n",
    "ax=[]\n",
    "ax.append(fig.add_subplot(221))\n",
    "ax[-1].plot( (data1.x-x0)/1000, data1.z,'ko', label='data', zorder=0)\n",
    "ax[-1].plot((S[-1]['m']['z0'].x-x0)/1000, S[-1]['m']['z0'].z0[0,:],'r',linewidth=1.5, label='z0, strong constraint', zorder=2)\n",
    "ax[-1].plot((S[0]['m']['z0'].x-x0)/1000, S[0]['m']['z0'].z0[0,:],'b', linewidth=1.5, label='z0, weak constraint', zorder=1)\n",
    "ax[-1].set_ylabel('elevation, m')\n",
    "ax[-1].set_xlabel('x_atc, km')\n",
    "ax[-1].legend();\n",
    "\n",
    "ax.append(fig.add_subplot(222, sharex=ax[0]))\n",
    "ax[-1].plot((d_ed[-1].x-x0)/1000, (d_ed[-1].z-d_ed[-1].z_est),'r.', label='strong cconstraint')\n",
    "ax[-1].plot((d_ed[0].x-x0)/1000, (d_ed[0].z-d_ed[0].z_est),'b.', label='weak constraint')\n",
    "ax[-1].set_ylabel('residual, m')\n",
    "ax[-1].set_xlabel('x_atc, km')\n",
    "ax[-1].legend()\n",
    "\n",
    "ax.append(fig.add_subplot(223, sharex=ax[0]))\n",
    "ax[-1].plot((d_ed[-1].x-x0)/1000, (d_ed[-1].z-d_ed[-1].z_est)/d_ed[-1].sigma,'r.', label='strong cconstraint')\n",
    "ax[-1].plot((d_ed[0].x-x0)/1000, (d_ed[0].z-d_ed[0].z_est)/d_ed[0].sigma,'b.', label='weak constraint')\n",
    "ax[-1].set_ylabel('scaled residual')\n",
    "ax[-1].set_xlabel('x_atc, km')\n",
    "\n",
    "ax.append( fig.add_subplot(224))\n",
    "ax[-1].loglog(scale_vals*E_d2z0dx2, sigma_hat_s_vals, label='robust scaled residual')\n",
    "ax[-1].loglog(scale_vals*E_d2z0dx2, N_vals/S[0]['data'].size, label='fraction pts used')\n",
    "ax[-1].legend()\n",
    "ax[-1].set_xlabel('$\\sigma_{zz}$')\n",
    "\n",
    "fig.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "fig.savefig('ATL11_z0_param_selection.pdf', format='pdf')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'extent': array([-1199500.,   899500., -3399500.,  -600500.]), 'origin': 'lower'}\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1a25da7208>,\n",
       " <matplotlib.lines.Line2D at 0x1a260dbfd0>,\n",
       " <matplotlib.lines.Line2D at 0x1a260b7160>,\n",
       " <matplotlib.lines.Line2D at 0x1a260b72b0>,\n",
       " <matplotlib.lines.Line2D at 0x1a260b7400>]"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "MOG=pc.grid.data().from_geotif('/Data/MOG/mog1km_2005_hp1_v1.1.tif');\n",
    "MOG.show()\n",
    "D1=D11[(D11.x_atc[:,0] > XR[0]) & (D11.x_atc[:,0] < XR[0]+W['x'])]\n",
    "D1.get_xy(EPSG=3413)\n",
    "plt.plot(D1.x, D1.y,'r.')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.00017999999999999998"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.max((scale_vals*E_d2z0dx2)[sigma_hat_s_vals>1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def safe_interp(x, x0_in, y0_in):\n",
    "    y=np.NaN\n",
    "    \n",
    "    if x0_in[-1] < x0_in[0]:\n",
    "        x0=x0_in[::-1]\n",
    "        y0=y0_in[::-1]\n",
    "    else:\n",
    "        x0=x0_in\n",
    "        y0=y0_in\n",
    "    try:\n",
    "        i0=np.argwhere(x0 < x)[-1][0]\n",
    "        i1=np.argwhere(x0 >=x)[0][0]\n",
    "        #print([i0, i1])\n",
    "        #print( x0[[i0, i1]])\n",
    "        #print( y0[[i0, i1]])\n",
    "        y=np.interp(x, x0[[i0, i1]], y0[[i0, i1]])\n",
    "    except Exception:\n",
    "        pass\n",
    "    return y\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def read_ATL11_file(file, mask_file):\n",
    "\n",
    "    D11=pc.ATL11.data().from_h5(file)\n",
    "    with h5py.File(file,'r') as h5f:\n",
    "        qs=np.array(h5f['/pt2/ref_surf/quality_summary'])\n",
    "    D11.assign({'ref_surf_quality':qs})\n",
    "    D11.get_xy(EPSG=3413)\n",
    "    XR=np.array([np.nanmin(D11.x), np.nanmax(D11.x)])\n",
    "    YR=np.array([np.nanmin(D11.y), np.nanmax(D11.y)])\n",
    "    mask=pc.grid.data().from_geotif(mask_file, bounds=[XR, YR]).interp(D11.x[:,0], D11.y[:,0]) > 0.5\n",
    "    D11.index(mask & (D11.ref_surf_quality <1))\n",
    "    return D11"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def find_best_wxx0(D11):\n",
    "\n",
    "    scale_vals=np.array([ 0.001, 0.003, 0.01, 0.03, 0.1, 0.3, 1, 3, 10, 30, 100, 300])\n",
    "\n",
    "    E_d3zdx2dt=0.0001\n",
    "    E_d2z0dx2=0.006\n",
    "    E_d2zdt2=5000\n",
    "\n",
    "    data_gap_scale=2500\n",
    "\n",
    "    # define the domain's width in x, y, and time\n",
    "    W={'x':4.e4,'y':200,'t':.2}\n",
    "    # define the grid center:\n",
    "    XR=np.nanmean(D11.x_atc)+np.array([-1, 1])*W['x']/2\n",
    "    ctr={'x':XR[0]+W['x']/2., 'y':0., 't':0.}\n",
    "    # define the grid spacing\n",
    "    spacing={'z0':100, 'dz':100, 'dt':.1}\n",
    "\n",
    "    dN=np.ceil(W['x']/30).astype(int)\n",
    "\n",
    "    L_interp={}\n",
    "\n",
    "    for pt0 in np.arange(D11.ref_pt[0,0]+dN/2, D11.ref_pt[-1,0], dN):\n",
    "        ii=np.flatnonzero(np.abs(D11.ref_pt[:,0]-pt0)<3*dN/2)\n",
    "        N_good=np.sum(np.isfinite(D11.h_corr[ii,:]), axis=0)\n",
    "        if np.max(N_good)<0.9*dN:\n",
    "            continue\n",
    "        bc=np.argmax(N_good)\n",
    "        nb=N_good[bc]\n",
    "\n",
    "        xy_ctr=[np.nanmean(D11.x[ii, bc]), np.nanmean(D11.y[ii, bc]), np.nanmean(D11.h_corr[ii, bc])]\n",
    "\n",
    "        D=pc.data().from_dict({'x':D11.x_atc[ii,bc], 'y':np.zeros_like(ii, dtype=float),'z':D11.h_corr[ii,bc],\\\n",
    "                           'time':np.zeros_like(ii, dtype=float), 'sigma':D11.h_corr_sigma[ii,bc]})\n",
    "        D.index(np.isfinite(D.z) & np.isfinite(D.sigma) & (D.sigma>0))\n",
    "        S=[]\n",
    "        ctr={'x':np.nanmean(D.x), 'y':0., 't':0.}\n",
    "\n",
    "        L_curve={key:[] for key in ['wzz0', 'sigma_hat_s', 'N']}\n",
    "\n",
    "        for  scale_val in scale_vals:\n",
    "            # run the fit\n",
    "            E_RMS={'d2z0_dx2': E_d2z0dx2*scale_val,\n",
    "             'dz0_dx': E_d2z0dx2*data_gap_scale*scale_val,\n",
    "             'd3z_dx2dt':E_d3zdx2dt ,\n",
    "             'd2z_dxdt': E_d3zdx2dt*data_gap_scale,\n",
    "             'd2z_dt2': E_d2zdt2}\n",
    "            S.append(smooth_xytb_fit(data=D, ctr=ctr, W=W, spacing=spacing, E_RMS=E_RMS,\n",
    "                         reference_epoch=1, N_subset=None, compute_E=False,\n",
    "                         max_iterations=5,\n",
    "                         VERBOSE=False, dzdt_lags=[1]))\n",
    "            d_ed = S[-1]['data']\n",
    "            d_ed.index(d_ed.three_sigma_edit==1)\n",
    "\n",
    "            L_curve['sigma_hat_s'].append( LSsurf.RDE((d_ed.z-d_ed.z_est)/d_ed.sigma))\n",
    "            L_curve['wzz0'].append(E_RMS['d2z0_dx2'])\n",
    "            L_curve['N'].append(d_ed.size)\n",
    "        for key in L_curve.keys():\n",
    "            L_curve[key] = np.array(L_curve[key])\n",
    "\n",
    "        L_interp[pt0] = {\"w_for_r_of_1\":safe_interp(1, L_curve['sigma_hat_s'], L_curve['wzz0']), \n",
    "                        'w_for_r_10pct_above_min':safe_interp(1.1*L_curve['sigma_hat_s'].min(), L_curve['sigma_hat_s'], L_curve['wzz0']), \n",
    "                        'x': xy_ctr[0], \n",
    "                        'y': xy_ctr[1],\n",
    "                        'z': xy_ctr[2]}\n",
    "    return L_interp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "! ls '/home/besmith4/nobackup/masks'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "D11=read_ATL11_file(sorted_files[10],'/home/besmith4/nobackup/masks/Arctic/GimpIceMask_100m_edited.tif' )\n",
    "L_interp=find_best_wxx0(D11)\n",
    "\n",
    "fig=plt.figure(6); plt.clf()\n",
    "h0=fig.add_subplot(211)\n",
    "plt.plot(D11.ref_pt[:,0], D11.h_corr,'.')\n",
    "fig.add_subplot(212, sharex=h0)\n",
    "plt.plot(np.array(list(L_interp.keys())), np.log10(np.array([L_interp[key]['w_for_r_10_pct_above_min'] for key in L_interp.keys()])),'ks')\n",
    "plt.plot(np.array(list(L_interp.keys())), np.log10(np.array([L_interp[key]['w_for_r_of_1'] for key in L_interp.keys()])),'r*')\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import re\n",
    "re_11=re.compile('\\d\\d_vU07.h5')\n",
    "\n",
    "with open('/home/besmith4/temp/wxx_queue.txt','w') as fh:\n",
    "    for file in sorted_files:\n",
    "        if re_11.search(file) is None:\n",
    "            continue\n",
    "        out_file = '/home/besmith4/nobackup/ATL11_wxx_analysis/'+os.path.basename(file)\n",
    "        fh.write(f'python3 ~/bin/best_wxx0_for_ATL11.py {file} {out_file}\\n')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "out_files=glob.glob('/home/besmith4/nobackup/ATL11_wxx_analysis/*.h5')\n",
    "D_list=[]\n",
    "for file in out_files:\n",
    "    D_list.append(pc.data().from_h5(file, field_dict={None:['w_for_r_10pct_above_min','w_for_r_of_1', 'x','y','z' ]}))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "w_for_r_10pct_above_min  Dataset {13/Inf}\n",
    "w_for_r_of_1             Dataset {13/Inf}\n",
    "x                        Dataset {13/Inf}\n",
    "y                        Dataset {13/Inf}\n",
    "z                        Dataset {13/Inf}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "! h5ls /home/besmith4/nobackup/ATL11_wxx_analysis/ATL11_106305_0307_03_vU07.h5\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "D_all=pc.data().from_list(D_list)\n",
    "D_all.index(np.isfinite(D_all.w_for_r_of_1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.figure(7, figsize=[4,8]);plt.clf()\n",
    "ii=np.argsort(D_all.w_for_r_of_1)\n",
    "plt.scatter(D_all.x[ii], D_all.y[ii], 4, c=np.log10(D_all.w_for_r_of_1[ii]), vmin=-4, vmax=-1.5); \n",
    "plt.colorbar(); plt.axis('equal')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "x0=np.round((D_all.x+1j*D_all.y)/2.e4)*2.e4\n",
    "ux0=np.unique(x0)\n",
    "D_mb0=np.zeros_like(ux0)\n",
    "for ii, xx0 in enumerate(ux0):\n",
    "    D_mb0[ii]=np.nanmedian(D_all.w_for_r_of_1[x0==xx0])\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.figure(figsize=[4, 8]); plt.clf()\n",
    "ii=np.argsort(D_mb0)\n",
    "plt.scatter(np.real(ux0[ii]), np.imag(ux0[ii]), 6, c=np.log10(D_mb0[ii]), vmin=-3.7, vmax=-2.2)\n",
    "plt.axis('equal'); plt.colorbar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "np.log10(0.006)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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